{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import random\n",
    "import numpy as np\n",
    "from cs231n.data_utils import load_CIFAR10\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "from __future__ import print_function\n",
    "\n",
    "%matplotlib inline\n",
    "plt.rcParams['figure.figsize'] = (10.0, 8.0) # set default size of plots\n",
    "plt.rcParams['image.interpolation'] = 'nearest'\n",
    "plt.rcParams['image.cmap'] = 'gray'\n",
    "\n",
    "%load_ext autoreload\n",
    "%autoreload 2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "from cs231n.features import color_histogram_hsv, hog_feature\n",
    "from cs231n.features import extract_features"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "def get_CIFAR10_data(num_training=49000, num_validation=1000, num_test=1000):\n",
    "    cifar10_dir = 'cs231n/datasets/cifar-10-batches-py'\n",
    "\n",
    "    X_train, y_train, X_test, y_test = load_CIFAR10(cifar10_dir)\n",
    "\n",
    "    mask = list(range(num_training, num_training + num_validation))\n",
    "    X_val = X_train[mask]\n",
    "    y_val = y_train[mask]\n",
    "    mask = list(range(num_training))\n",
    "    X_train = X_train[mask]\n",
    "    y_train = y_train[mask]\n",
    "    mask = list(range(num_test))\n",
    "    X_test = X_test[mask]\n",
    "    y_test = y_test[mask]\n",
    "    \n",
    "    return X_train, y_train, X_val, y_val, X_test, y_test\n",
    "\n",
    "try:\n",
    "   del X_train, y_train\n",
    "   del X_test, y_test\n",
    "   print('Clear previously loaded data.')\n",
    "except:\n",
    "   pass\n",
    "\n",
    "X_train, y_train, X_val, y_val, X_test, y_test = get_CIFAR10_data()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "num_color_bins = 10\n",
    "hog = lambda x: hog_feature(x)\n",
    "hsv = lambda x: color_histogram_hsv(x, nbin=num_color_bins)\n",
    "fns = [hog, hsv]\n",
    "\n",
    "X_train_feats = extract_features(X_train, fns)\n",
    "X_val_feats = extract_features(X_val, fns)\n",
    "X_test_feats = extract_features(X_test, fns)\n",
    "\n",
    "mean_feat = np.mean(X_train_feats, axis=0, keepdims=True)\n",
    "X_train_feats -= mean_feat\n",
    "X_val_feats -= mean_feat\n",
    "X_test_feats -= mean_feat\n",
    "\n",
    "std_feat = np.std(X_train_feats, axis=0, keepdims=True)\n",
    "X_train_feats /= std_feat\n",
    "X_val_feats /= std_feat\n",
    "X_test_feats /= std_feat\n",
    "\n",
    "X_train_feats = np.hstack([X_train_feats, np.ones((X_train_feats.shape[0], 1))])\n",
    "X_val_feats = np.hstack([X_val_feats, np.ones((X_val_feats.shape[0], 1))])\n",
    "X_test_feats = np.hstack([X_test_feats, np.ones((X_test_feats.shape[0], 1))])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "from cs231n.classifiers.linear_classifier import LinearSVM"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "lr 1.000000e-09 reg 5.000000e+04 train accuracy: 0.100510 val accuracy: 0.113000\n",
      "lr 1.000000e-09 reg 5.000000e+05 train accuracy: 0.101959 val accuracy: 0.120000\n",
      "lr 1.000000e-09 reg 5.000000e+06 train accuracy: 0.414347 val accuracy: 0.418000\n",
      "lr 1.000000e-08 reg 5.000000e+04 train accuracy: 0.094490 val accuracy: 0.087000\n",
      "lr 1.000000e-08 reg 5.000000e+05 train accuracy: 0.413184 val accuracy: 0.424000\n",
      "lr 1.000000e-08 reg 5.000000e+06 train accuracy: 0.403796 val accuracy: 0.402000\n",
      "lr 1.000000e-07 reg 5.000000e+04 train accuracy: 0.413265 val accuracy: 0.402000\n",
      "lr 1.000000e-07 reg 5.000000e+05 train accuracy: 0.408898 val accuracy: 0.403000\n",
      "lr 1.000000e-07 reg 5.000000e+06 train accuracy: 0.324204 val accuracy: 0.300000\n",
      "best validation accuracy achieved during cross-validation: 0.424000\n"
     ]
    }
   ],
   "source": [
    "learning_rates = [1e-9, 1e-8, 1e-7]\n",
    "regularization_strengths = [5e4, 5e5, 5e6]\n",
    "\n",
    "results = {}\n",
    "best_val = -1\n",
    "best_svm = None\n",
    "\n",
    "for lr in learning_rates:\n",
    "    for reg in regularization_strengths:\n",
    "        svm = LinearSVM()\n",
    "        svm.train(X_train_feats, y_train, learning_rate=lr, reg=reg, num_iters=1500, verbose=False)\n",
    "        \n",
    "        y_pred = svm.predict(X_train_feats)\n",
    "        train_accuracy = np.mean(y_pred == y_train)   \n",
    "        \n",
    "        y_pred = svm.predict(X_val_feats)\n",
    "        val_accuracy = np.mean(y_pred == y_val)\n",
    "        results[(lr, reg)] = (train_accuracy, val_accuracy)\n",
    "        if val_accuracy > best_val:\n",
    "            best_val = val_accuracy\n",
    "            best_svm = svm\n",
    "\n",
    "for lr, reg in sorted(results):\n",
    "    train_accuracy, val_accuracy = results[(lr, reg)]\n",
    "    print('lr %e reg %e train accuracy: %f val accuracy: %f' % (\n",
    "                lr, reg, train_accuracy, val_accuracy))\n",
    "    \n",
    "print('best validation accuracy achieved during cross-validation: %f' % best_val)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.422\n"
     ]
    }
   ],
   "source": [
    "y_test_pred = best_svm.predict(X_test_feats)\n",
    "test_accuracy = np.mean(y_test == y_test_pred)\n",
    "print(test_accuracy)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f40b4b74f60>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "examples_per_class = 8\n",
    "classes = ['plane', 'car', 'bird', 'cat', 'deer', 'dog', 'frog', 'horse', 'ship', 'truck']\n",
    "for idx, cls in enumerate(classes):\n",
    "    idxs = np.where((y_test != idx) & (y_test_pred == idx))[0]\n",
    "    idxs = np.random.choice(idxs, examples_per_class, replace=False)\n",
    "    for i, index in enumerate(idxs):\n",
    "        plt.subplot(examples_per_class, len(classes), i * len(classes) + idx + 1)\n",
    "        plt.imshow(X_test[index].astype(np.uint8))\n",
    "        plt.axis('off')\n",
    "        if i == 0:\n",
    "            plt.title(cls)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(49000, 155)\n",
      "(49000, 154)\n"
     ]
    }
   ],
   "source": [
    "print(X_train_feats.shape)\n",
    "X_train_feats = X_train_feats[:, :-1]\n",
    "X_val_feats = X_val_feats[:, :-1]\n",
    "X_test_feats = X_test_feats[:, :-1]\n",
    "\n",
    "print(X_train_feats.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "from cs231n.classifiers.neural_net import TwoLayerNet"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "iteration 0 / 100: loss 2.302585\n",
      "iteration 0 / 100: loss 2.302522\n",
      "iteration 0 / 100: loss 2.302316\n",
      "iteration 0 / 100: loss 2.302323\n",
      "iteration 0 / 100: loss 1.853505\n",
      "iteration 0 / 100: loss 1.676730\n",
      "iteration 0 / 100: loss 1.609285\n",
      "iteration 0 / 100: loss 1.384059\n",
      "iteration 0 / 100: loss 1.297580\n",
      "iteration 0 / 100: loss 1.280783\n",
      "iteration 0 / 100: loss 1.319774\n",
      "iteration 0 / 100: loss 1.392213\n",
      "iteration 0 / 100: loss 1.352003\n",
      "iteration 0 / 100: loss 1.206368\n",
      "iteration 0 / 100: loss 1.192687\n",
      "iteration 0 / 100: loss 1.208403\n",
      "iteration 0 / 100: loss 1.154563\n",
      "iteration 0 / 100: loss 1.115568\n",
      "iteration 0 / 100: loss 1.225101\n",
      "iteration 0 / 100: loss 1.284121\n",
      "iteration 0 / 100: loss 1.113822\n",
      "iteration 0 / 100: loss 1.258926\n",
      "iteration 0 / 100: loss 1.215966\n",
      "iteration 0 / 100: loss 1.215403\n",
      "iteration 0 / 100: loss 1.040473\n",
      "iteration 0 / 100: loss 1.030733\n",
      "iteration 0 / 100: loss 0.930572\n",
      "iteration 0 / 100: loss 0.936598\n",
      "iteration 0 / 100: loss 0.846672\n",
      "iteration 0 / 100: loss 0.933043\n",
      "iteration 0 / 100: loss 1.142212\n",
      "iteration 0 / 100: loss 1.090583\n",
      "iteration 0 / 100: loss 0.938855\n",
      "iteration 0 / 100: loss 1.172515\n",
      "iteration 0 / 100: loss 0.973949\n",
      "iteration 0 / 100: loss 1.037546\n",
      "iteration 0 / 100: loss 0.955888\n",
      "iteration 0 / 100: loss 1.140513\n",
      "iteration 0 / 100: loss 1.104624\n",
      "iteration 0 / 100: loss 1.065108\n",
      "iteration 0 / 100: loss 0.903355\n",
      "iteration 0 / 100: loss 0.826247\n",
      "iteration 0 / 100: loss 1.076455\n",
      "iteration 0 / 100: loss 0.896688\n",
      "iteration 0 / 100: loss 0.765765\n",
      "iteration 0 / 100: loss 0.830594\n",
      "iteration 0 / 100: loss 0.858193\n",
      "iteration 0 / 100: loss 0.854921\n",
      "iteration 0 / 100: loss 0.847906\n",
      "iteration 0 / 100: loss 0.919144\n",
      "iteration 0 / 100: loss 1.059035\n",
      "iteration 0 / 100: loss 0.824308\n",
      "iteration 0 / 100: loss 0.861753\n",
      "iteration 0 / 100: loss 0.901223\n",
      "iteration 0 / 100: loss 0.775241\n",
      "iteration 0 / 100: loss 0.780694\n",
      "iteration 0 / 100: loss 0.905319\n",
      "iteration 0 / 100: loss 0.751894\n",
      "iteration 0 / 100: loss 0.833354\n",
      "iteration 0 / 100: loss 0.923650\n",
      "iteration 0 / 100: loss 0.828655\n",
      "iteration 0 / 100: loss 0.949847\n",
      "iteration 0 / 100: loss 0.824821\n",
      "iteration 0 / 100: loss 0.718433\n",
      "iteration 0 / 100: loss 0.866826\n",
      "iteration 0 / 100: loss 0.921151\n",
      "iteration 0 / 100: loss 0.786195\n",
      "iteration 0 / 100: loss 0.756132\n",
      "iteration 0 / 100: loss 0.675607\n",
      "iteration 0 / 100: loss 0.800590\n",
      "iteration 0 / 100: loss 0.766119\n",
      "iteration 0 / 100: loss 0.977463\n",
      "iteration 0 / 100: loss 0.801386\n",
      "iteration 0 / 100: loss 0.746432\n",
      "iteration 0 / 100: loss 0.654146\n",
      "iteration 0 / 100: loss 1.019921\n",
      "iteration 0 / 100: loss 0.790808\n",
      "iteration 0 / 100: loss 0.874807\n",
      "iteration 0 / 100: loss 0.727502\n",
      "iteration 0 / 100: loss 0.647995\n",
      "iteration 0 / 100: loss 0.556405\n",
      "iteration 0 / 100: loss 0.617161\n",
      "iteration 0 / 100: loss 0.663187\n",
      "iteration 0 / 100: loss 0.622889\n",
      "iteration 0 / 100: loss 0.609557\n",
      "iteration 0 / 100: loss 0.661910\n",
      "iteration 0 / 100: loss 0.602961\n",
      "iteration 0 / 100: loss 0.589796\n",
      "iteration 0 / 100: loss 0.945462\n",
      "iteration 0 / 100: loss 0.714702\n",
      "iteration 0 / 100: loss 0.637229\n",
      "iteration 0 / 100: loss 0.516684\n",
      "iteration 0 / 100: loss 0.818109\n",
      "iteration 0 / 100: loss 0.521802\n",
      "iteration 0 / 100: loss 0.521223\n",
      "iteration 0 / 100: loss 0.797689\n",
      "iteration 0 / 100: loss 0.517569\n",
      "iteration 0 / 100: loss 0.589195\n",
      "iteration 0 / 100: loss 0.606773\n",
      "iteration 0 / 100: loss 0.523158\n",
      "val acc is: 61.4 %\n"
     ]
    }
   ],
   "source": [
    "input_dim = X_train_feats.shape[1]\n",
    "hidden_dim = 500\n",
    "num_classes = 10\n",
    "\n",
    "net = TwoLayerNet(input_dim, hidden_dim, num_classes)\n",
    "best_net = None\n",
    "\n",
    "max_cnt = 100\n",
    "best_val = 0.0\n",
    "for cnt in range(max_cnt):\n",
    "    lr = 10 ** np.random.uniform(-3, 0)\n",
    "    reg = 10 ** np.random.uniform(-5, 5)\n",
    "    stats = net.train(X_train_feats, y_train, X_val_feats, y_val,\n",
    "                     learning_rate=lr, reg=0.0, num_iters=100)\n",
    "    val_acc = np.mean(net.predict(X_val_feats) == y_val)\n",
    "    if val_acc > best_val:\n",
    "        best_net = net\n",
    "        best_val = val_acc\n",
    "print('val acc is: %0.1f %%' %(best_val * 100))    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.533\n"
     ]
    }
   ],
   "source": [
    "test_acc = (best_net.predict(X_test_feats) == y_test).mean()\n",
    "print(test_acc)"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.4"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
